Hi there, i have updated manjaro to the current branch using pacman -Syu :
Cuda 10.2 -> 11.0
Cudnn 7.6 -> 8.0
Pytorch 1.5.1 -> 1.6.0
But i got problem using python-pytorch-cuda, it says my nivida driver version is outdate.
nvidia-smi shows current nvidia driver version is 440xx, so i update nvidia driver to 450xx by using yay -S nvidia-beta-all, after that nvidia-smi shows
Failed to initialize NVML: Driver/library version mismatch
and python -c “import tensorflow as tf;tf.test.is_gpu_available();” shows
Use tf.config.list_physical_devices('GPU')
instead.
2020-08-18 22:03:51.528883: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Netw
ork Library (oneDNN)to use the following CPU instructions in performance-critical operations: SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2020-08-18 22:03:51.533552: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 3601000000 Hz
2020-08-18 22:03:51.533923: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5604d208cf80 initialized for platform Host (this does
not guarantee that XLA will be used). Devices:
2020-08-18 22:03:51.533940: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-08-18 22:03:51.535611: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1
2020-08-18 22:03:51.545474: E tensorflow/stream_executor/cuda/cuda_driver.cc:314] failed call to cuInit: CUDA_ERROR_UNKNOWN: unknown error
2020-08-18 22:03:51.545509: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: manjaro
2020-08-18 22:03:51.545513: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: manjaro
2020-08-18 22:03:51.545591: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:200] libcuda reported version is: 450.57.0
2020-08-18 22:03:51.545612: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:204] kernel reported version is: 440.100.0
2020-08-18 22:03:51.545617: E tensorflow/stream_executor/cuda/cuda_diagnostics.cc:313] kernel version 440.100.0 does not match DSO version 450.57
.0 – cannot find working devices in this configuration
How can i fix that? Thank you very much for replying